Audit Trail or Snail Trail?

How much is avoiding another ‘Flash Crash’ worth? That’s the question US market participants are asking as they respond to the Securities and Exchange Commission’s (SEC) proposed real-time consolidated audit trail of trading activity across equity and options markets to spot anomalies and potential abuse.
“The information in the consolidated audit trail might give earlier indications on the state of the markets, generating warnings of impending problems such as the Flash Crash,” says Stephen Elston, managing director of Quantia Analytics, whose analysis of May 6 shows monitoring market activity in real-time would have generated warnings more than a minute before the worst of the crash in some stocks.
However, the proposal has met with a mixed reception from the markets. For example, Finra (the Financial Industry Regulatory Authority)—which already produces the Oats (Order Audit Trail) and Trace consolidated trade feeds, and would be a key component in any solution—says the SEC “significantly overvalued the regulatory benefits” of real-time reporting, and that real-time data is less reliable than corrected and validated information.
Wells Fargo Advisors echoed this, saying real-time reporting “inhibits” detection of fraudulent or manipulative activity, since “accurate market information often does not happen in real time,” but “only ‘settles down’ in a period after the real-time execution.”
But to be able to monitor for more than just suspicious activity—for example, to detect a systemic problem and take action in real-time—the SEC needs raw, un-corrected data to see exactly what caused actions at a point in time. Once data is validated and corrected after the fact, it can become harder to detect the cause of an incident.
“You don’t just need feeds, a ticker plant and databases… you also need to be able to look at these in real time and spot patterns of behavior that indicate something is going awry—from a trader trying to manipulate the market to an issue with a trading application submitting a lot of orders in a short time, which might indicate an algo trading system going wrong,” says Giles Nelson, deputy chief technology officer at Progress Software.
Wells Fargo was also concerned that the 32-month estimated schedule for implementation would be “woefully short,” and that “rushing through such a dramatic change… poses a great risk of harm,” resulting from a lack of vetting and stress-testing, suggesting a five-year plan would be more realistic.
Among the plan’s supporters, new exchange Direct Edge said it “would significantly enhance the capabilities of regulators to police trading across asset classes… [and] create a more complete timeline of an order’s lifecycle,” while TD Ameritrade called it “the right solution and… overdue,” but estimated its initial spend to support its contributions to a system would be $1.25 million, including $750,000 in development and $500,000 for hardware, and would require three full-time staff.
Many said the industry-wide costs required to implement a consolidated audit trail—estimated by the SEC at around $4 billion, with ongoing annual costs of around $2.1 billion—are too high, though others believe a system can be achieved for much less.
In fact, a consortium calling itself TickLab—comprising data architecture consultancy Noetic Partners, data vendor Activ Financial and high-performance computing technology vendors Cray Research and XtremeData—has proposed that it can build a system that includes full-depth tick data capture and high-performance storage for fast retrieval for less than $100 million, which would cost less than $100 million per year to run.
So, how much is an orderly market worth? Those who believe lightning never strikes the same place twice might say the benefits aren’t worth the cost. But lightning always strikes again somewhere, and—as the saying goes—those who don’t learn from the past are doomed to repeat it.
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@waterstechnology.com or view our subscription options here: https://subscriptions.waterstechnology.com/subscribe
You are currently unable to print this content. Please contact info@waterstechnology.com to find out more.
You are currently unable to copy this content. Please contact info@waterstechnology.com to find out more.
Copyright Infopro Digital Limited. All rights reserved.
As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (point 2.4), printing is limited to a single copy.
If you would like to purchase additional rights please email info@waterstechnology.com
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (clause 2.4), an Authorised User may only make one copy of the materials for their own personal use. You must also comply with the restrictions in clause 2.5.
If you would like to purchase additional rights please email info@waterstechnology.com
More on Trading Tech
Bolsa Mexicana embarks on multi-year modernization project
Latin America’s second largest exchange is embracing cloud and upgrading its infrastructure in a bid to bolster its global standing, says CEO.
S&P’s $1.8 billion buy, an FIA restructure, a tokenization craze, and more
The Waters Cooler: CAIS creates CAISey, BNY deploys EquiLend, and more in this week’s news roundup.
Bloomberg integrates AI summaries into Port
One buy-side user says that while it’s still early for agentic tools, they’re excited by what they’ve seen so far.
Larry Fink: ‘We need to be tokenizing all assets’
The asset manager is currently exploring tokenizing long-term investment products like iShares, with an eye on non-financial assets down the road.
Examining how adaptive intelligence can create resilient trading ecosystems
Researchers from IBM and Wipro explore how multi-agent LLMs and multi-modal trading agents can be used to build trading ecosystems that perform better under stress.
S&P Global partners with IBM, Eventus launches Frank AI, Tradeweb expands algo execution abilities, and more
The Waters Cooler: Arcesium makes waves with Aquata Marketplace, NYSE Cloud flows into Blue Ocean Technologies, and more in this week’s news roundup.
Robinhood looks to ‘Chaos Monkey’ for op resilience playbook
As firms look to break down silos across business divisions to bolster operational resilience, the US broker is ditching emails, while utilizing chaos engineering and automating everything in sight.
Bank of America’s GenAI plan wants to avoid ‘sins of the past’
Waters Wrap: Anthony spoke with BofA’s head of platform and head of technology to discuss how the bank is exploring new forms of AI while reducing tech debt and growing interoperability.